EMBEDDED MALWARE DETECTION USING SPATIAL VOTING AND MACHINE LEARNING

    公开(公告)号:US20220222341A1

    公开(公告)日:2022-07-14

    申请号:US17147367

    申请日:2021-01-12

    Abstract: A system and method for detecting embedded malware from a device including a receiver for receiving embedded binary image; a memory for encoding and storing the received embedded binary image; and one or more processors coupled to the receiver. The method includes extracting statistical features from the encoded embedded binary image; producing gridded data from the statistical features, using SV; inputting the gridded data to a machine learning (ML) trained to detect embedded malware from the gridded data; and determining whether the embedded binary image is benign or malware.

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